10
A quantum neural network can see optical illusions like humans do. Could it be the future of AI?
(theconversation.com)
this post was submitted on 30 Aug 2024
10 points (56.9% liked)
Technology
58795 readers
3441 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Can it see the things in a "magic eye" picture? Some humans can't even pull it off.
I'm absolutely certain you could train them on that.
I stood outside the art place at the beach for three or four hours one day when I was bored helping people see them.
I believe anybody with reasonably corrected binocular vision can be taught to see them.
Almost everybody that can't do it is trying entirely too hard. They're looking for details in the wash instead of letting their eyes uncross and relax. You simply need to use your distance eye crossing while using your reading vision focal points.
Man those things took me years to figure out how to do. It was really hard for me but I finally got it! I have to focus on the image without looking at it directly, and then the image "snaps" into place and I can look at it freely almost. Really bizzare.
Given that magic eye pictures are basically a certain convolution of a repetitive source image (or random noise) and a depth map, it ought to be possible for an AI, if not a standard procedural algorithm, to at least attempt to "factor out" the source and map from the result image.
Whether that even counts as seeing and whether this guy's neural network could do this, or maybe "see" in some other way is open to question. But I'm guessing it's a no.